IEEE Sensors Journal最新文献_第2页

Thermoelectric Design of Delta-Doped β-(AlxGa1–x)₂O₃/Ga₂O₃ Metal Insulator Semiconductor High-Electron Mobility Transistors 掺δβ-(AlxGa1-x)₂O₃/Ga₂O₃金属绝缘体半导体高电子迁移率晶体管的热电设计

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-11 DOI: 10.1109/JSEN.2024.3491179

Zhenguang Shao;Mengting Shao;Guang Qiao;Xuekun Hong;Hailin Yu;Xifeng Yang;Haifan You;Dunjun Chen;Changjiang Liu;Yushen Liu

{"title":"Thermoelectric Design of Delta-Doped β-(AlxGa1–x)₂O₃/Ga₂O₃ Metal Insulator Semiconductor High-Electron Mobility Transistors","authors":"Zhenguang Shao;Mengting Shao;Guang Qiao;Xuekun Hong;Hailin Yu;Xifeng Yang;Haifan You;Dunjun Chen;Changjiang Liu;Yushen Liu","doi":"10.1109/JSEN.2024.3491179","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3491179","url":null,"abstract":"This work presents thermoelectric (TE) devices design of delta-doped \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-(AlxGa\u0000<inline-formula> <tex-math>$_{{1}-{x}}$ </tex-math></inline-formula>\u0000)2O3/Ga2O3 metal insulator semiconductor high electron mobility transistors (MIS-HEMTs) using TCAD simulations. The TE properties of devices were comprehensively investigated with various temperature, gate voltages, gate lengths, delta-doping concentrations, and positions. With high delta-doping concentrations, a parasitic current channel is induced and that reduces electron chemical potential, resulting in high conductivity, a low Seebeck coefficient, and a reduced turn on voltage. Moving delta-doping positions closer to the \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-(AlxGa\u0000<inline-formula> <tex-math>$_{{1}-{x}}$ </tex-math></inline-formula>\u0000)2O3/Ga2O3 interface enhances the concentration of the 2-D electron gas (2DEG), which screens the strong polar optical-phonon scattering and improves 2DEG mobility. For delta-doping positions at 1 nm, the power factor is improved due to quantum effect and energy filter effect, allowing the trade-off relationship between \u0000<inline-formula> <tex-math>$sigma $ </tex-math></inline-formula>\u0000 and S to be mitigated. Expanding gate lengths increases channel electron temperature at gate edge near drain side. These results provide valuable insights and crucial guidance for the design of high-performance \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-(AlxGa\u0000<inline-formula> <tex-math>$_{{1}-{x}}$ </tex-math></inline-formula>\u0000)2O3/Ga2O3 MIS-HEMTs for TE and temperature sensing applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40446-40453"},"PeriodicalIF":4.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Stereo Matching With Adaptive Disparity Range Scaling and Feature Calibration

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-11 DOI: 10.1109/JSEN.2024.3491173

Shengjie Huang;Runbang Zhang;Shuo Liu;Yougang Bian;Yunshui Zhou;Xiaohui Qin

{"title":"Efficient Stereo Matching With Adaptive Disparity Range Scaling and Feature Calibration","authors":"Shengjie Huang;Runbang Zhang;Shuo Liu;Yougang Bian;Yunshui Zhou;Xiaohui Qin","doi":"10.1109/JSEN.2024.3491173","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3491173","url":null,"abstract":"Cascaded cost volume-based stereo matching has gained significant attention for its ability to produce high-resolution depth maps with efficient hardware utilization. However, previous methods often perform uniform offset sampling within a predicted disparity range, which can easily overlook the ground-truth disparity, leading to error propagation and accumulation. Moreover, these methods lack specific designs to tackle spatial feature misalignment, which limits their effectiveness in real-time applications. In this article, we introduce a lightweight cascaded stereo matching framework that features a disparity range scaling (DRS) module and a spatial feature calibration (SFC) module. The DRS module adaptively adjusts the disparity sampling range and constructs a new cost volume that incorporates finer semantic features, ensuring that computational and memory resources are focused on more critical regions. The SFC module performs selective sampling and calibration to extract the most informative and representative features at each position, effectively mitigating spatial feature misalignment. Through rigorous experiments across SceneFlow, KITTI 2012, and KITTI 2015, our model’s effectiveness and efficiency have been confirmed, demonstrating that it outperforms other speed-based algorithms while remaining competitive with state-of-the-art approaches.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42561-42572"},"PeriodicalIF":4.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MAP-MAC: A Priority-Based MAC Protocol for MAX Aggregation in Wireless Sensor Networks

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-11 DOI: 10.1109/JSEN.2024.3487876

Xiuxiu Liang;Xin Li;Haibo Yang;Tao Ma

{"title":"MAP-MAC: A Priority-Based MAC Protocol for MAX Aggregation in Wireless Sensor Networks","authors":"Xiuxiu Liang;Xin Li;Haibo Yang;Tao Ma","doi":"10.1109/JSEN.2024.3487876","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3487876","url":null,"abstract":"MAX aggregation is a typical data aggregation operation in wireless sensor networks (WSNs). Due to energy constraints, MAX aggregation’s low latency and energy efficiency are critical in emergency applications. As priority-based media access control (MAC) protocols can provide early channel access to high-priority traffic, assigning a higher priority level to data packets close to the MAX value can reduce the MAX value’s delay. Since priority-based MAC protocols fail to offer success channel access strictly in descending order of priority, we still need to collect all data packets to obtain the accurate MAX value. Therefore, this article proposes a new priority-based MAC protocol for MAX aggregation (MAP-MAC), specially designed for cluster topology. MAP-MAC assigns the corresponding priority level to data packets according to the position of the data in the data range. Channel access priority is achieved by setting a corresponding starting clear channel assessment (CCA) detection in the time slot based on priority levels. This article analyzes the range of priorities and their impact on latency and energy consumption. The results show that MAP-MAC reduces the delay of the accurate MAX value by over 65% and energy consumption by over 70%, compared with the benchmark protocols. The analysis presented in this article is expected to provide a reference for setting the range of priorities and further improving the latency and energy consumption performance of WSNs.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42152-42162"},"PeriodicalIF":4.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Quality Factor FBG-FPI Accelerometer With Adjustable Resonant Frequency and Sensitivity Using Additional Mass

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-08 DOI: 10.1109/JSEN.2024.3490653

Fanxu Geng;Xingyong Li;Xin Liu;Shuangshuang Li;Ruohui Wang;Fengyi Chen;Xueguang Qiao

引用次数: 0

Highly Sensitive and Robust Metasurface-Inspired Microfluidic Sensor for Oil Detection

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-07 DOI: 10.1109/JSEN.2024.3488812

Qiang Zhang;Zhifei Kou;Jun Yang;Ying Li;Zhiping Yin;Guangsheng Deng

引用次数: 0

Improving Indoor Localization Through Data Augmentation of Visualized Multidimensional Fingerprints via Enhanced Generative Networks

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-07 DOI: 10.1109/JSEN.2024.3489800

Haoxiao Yang;Liang Chen

{"title":"Improving Indoor Localization Through Data Augmentation of Visualized Multidimensional Fingerprints via Enhanced Generative Networks","authors":"Haoxiao Yang;Liang Chen","doi":"10.1109/JSEN.2024.3489800","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3489800","url":null,"abstract":"Fingerprint-based localization utilizes wireless signals to sense indoor environments, which has attracted significant research attention due to its advantages of wide deployment and low cost. However, attaining precise localization demands tremendous high-density and high-availability fingerprint measurements, which makes the site survey for signal collection pretty time-consuming and labor-intensive. To address this challenge, this article proposes a framework called augmented visualized fingerprint-based localization (AVF-Loc), which visualizes multidimensional wireless signals as fingerprint images and implements data augmentation to improve positioning in indoor environments. It begins by converting multidimensional wireless signals into low-resolution (LR) fingerprint images. Then, it employs an enhanced super-resolution generative adversarial network (ESRGAN) to realize data augmentation, which is designed to reconstruct the LR images into the corresponding high-resolution (HR) images. Subsequently, these HR images are transformed back into an augmented fingerprint. Based on the augmented data, the k-means weighted k-nearest neighbor (WKNN) algorithm is implemented for localization. Real and simulated experiments with 5G synchronization signal block (SSB) and Wi-Fi were conducted to evaluate AVF-Loc’s performance. The results indicate that AVF-Loc has significantly enriched the number of fingerprints and improved localization accuracy in real tests by 19.1056% and 13.3254% for 5G SSB and Wi-Fi, respectively, while by about 33.3082% in simulated experiments. Moreover, it outperforms state-of-the-art methods well. Extended analysis displays that AVF-Loc performs outstanding scalability and robustness in complicated indoor environments. Overall, the proposed AVF-Loc is demonstrated to have superiority in improving indoor localization through ESRGAN-based data augmentation of visualized multidimensional fingerprints.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42549-42560"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PALReg: Polarization-Aspect Fusion Lightweight Regressor for Micromotion Cone-Shaped Objects PALReg：用于微动锥形物体的偏振-光谱融合轻量级调节器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-07 DOI: 10.1109/JSEN.2024.3490184

Jie Yang;Jihong Gu;Jingyu Xin;Zhou Cong;Dazhi Ding

{"title":"PALReg: Polarization-Aspect Fusion Lightweight Regressor for Micromotion Cone-Shaped Objects","authors":"Jie Yang;Jihong Gu;Jingyu Xin;Zhou Cong;Dazhi Ding","doi":"10.1109/JSEN.2024.3490184","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3490184","url":null,"abstract":"The Doppler effect is essential for confirming aerial cone-shaped objects. However, individual radars are limited in the detection and analysis capabilities due to the viewing angles and polarization. PALReg, a deep learning (DL)-based approach, leverages electromagnetic (EM) scattering information from multiple radar angles and polarizations to deduce the micromotion and geometric parameters of aerial cone-shaped objects with Doppler effect. A custom dual-branch backbone network is employed, enhancing feature diversity and model robustness by capturing more complementary information from spectrograms. The backbone incorporates both lightweight blocks and attention blocks, markedly reducing computational load while improving prediction accuracy. To optimize performance, a set of tailored weight coefficients are integrated into the loss function, targeting specific predicted physical parameter and further enhancing effectiveness of the regressor. To validate the efficacy of PALReg, a dataset comprising three types of cone-shaped objects, each under varying micromotion states and geometric configurations is constructed. Experimental results show that PALReg surpasses the existing DL-based models, achieving high accuracies of 98.86%, 98.13%, 98.86%, 98.39%, and 98.56% across five parameters, with a model size under 7.50 MB.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"42172-42180"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Sensitivity Photoacoustic Spectroscopy Gas Sensor Enhanced by a Microphone-Array-Coupled Differential Resonator

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-07 DOI: 10.1109/JSEN.2024.3488816

Fupeng Wang;Jianguo Zhang;Peixing Cui;Liyan Fu;Qiang Wang

{"title":"High-Sensitivity Photoacoustic Spectroscopy Gas Sensor Enhanced by a Microphone-Array-Coupled Differential Resonator","authors":"Fupeng Wang;Jianguo Zhang;Peixing Cui;Liyan Fu;Qiang Wang","doi":"10.1109/JSEN.2024.3488816","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3488816","url":null,"abstract":"A high-sensitivity photoacoustic spectroscopy (PAS) gas sensor based on a differential photoacoustic cell (DPAC) and microphone array is reported in this article. The DPAC, with an inner volume of only 4.3 mL, was especially designed to couple with 40 microphones to enhance photoacoustic detection. Finite element analysis (FEAs) was used to optimize the acoustic characteristics inside the DPAC and then determine the distribution of the microphone array. For assessing the performance, an acetylene (C₂H₂) PAS sensor was developed using a 1531 nm distributed feedback (DFB) laser with an optical power of 30 mW, operating in the mode of wavelength modulation spectroscopy (WMS). Compared to the sensor with a single microphone, the microphone array realized 39.2 times photoacoustic enhancement and 13.7 times improvement in signal to noise ratio (SNR). The minimum detection limit (MDL) of the developed C₂H₂ PAS sensor can be improved to 8.6 ppb when the average time is extended to 754 s, which is equal to a normalized noise equivalent absorption (NNEA) of 3 × 10−10 cm−10 W/Hz1/2.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"41924-41931"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Label-Free Ultrasensitive Cholesterol Detection Based on SPR Optical Fiber Sensor

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-07 DOI: 10.1109/JSEN.2024.3489622

Hongxin Zhang;Xuegang Li;Xue Zhou;Yanan Zhang

{"title":"Label-Free Ultrasensitive Cholesterol Detection Based on SPR Optical Fiber Sensor","authors":"Hongxin Zhang;Xuegang Li;Xue Zhou;Yanan Zhang","doi":"10.1109/JSEN.2024.3489622","DOIUrl":"https://doi.org/10.1109/JSEN.2024.3489622","url":null,"abstract":"A sensitivity-improved fiber-optic sensor based on surface plasmon resonance (SPR) is proposed, and a strategy [using polyacrylic acid (PAA) and chitosan] to fix carbon nanotubes (CNTs) on the probe to detect cholesterol is established. CNTs can improve the sensitivity of the sensor. The sensitivity of the sensor after coating with CNTs is 2437 nm/RIU, which increases by 65% compared with the uncoated sensor. \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-cyclodextrin (\u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-cd) can recognize cholesterol molecules. First, the traditional 11-mercaptoundecanoic acid (MUA) method was used to fix \u0000<inline-formula> <tex-math>$beta $ </tex-math></inline-formula>\u0000-cd on the sensor, and cholesterol sensitivity is 0.023 nm/nM in the range of 10–300 nM. Then, the Langmuir adsorption isotherm model was used to analyze the detection of cholesterol by the new method. Experiment results show that cholesterol sensitivity was 0.065 nm/nM at 10–400 nM (2.83 times than the MUA method), and the limit of quantification (LOQ) was 2.34 nM. In addition, the sensor has expanded detection range, improved the sensitivity of the sensor, and also has good stability and selectivity, paving the way for the future use of fiber sensors in cholesterol detection.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 24","pages":"40972-40978"},"PeriodicalIF":4.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flowthrough Balance for Reaction Control Testing

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2024-11-06 DOI: 10.1109/JSEN.2024.3489423

Kenneth G. Toro;Devin E. Burns;Peter A. Parker

引用次数: 0